Abstract
Contemporary experiments in Digital Humanities and distant reading tend to propose an empirical approach to literary facts. This development leads us to reflect on the place of quantitative analysis in literary theory, by asking whether data can replace literary theory in the age of Artificial Intelligence (AI)? By shifting from the status of emblematic fact to that of mere “noise” or statistical randomness in data, it is the entire theoretical conception of the literary work, supposedly individual and particular, that is called into question. This article attempts to reflect on these epistemological evolutions.
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Notes
This heterogeneity is controversial in many fields; this is particularly true of zoology, which is not free from the well-known opposition between theory and history among literary scholars. See on this point Mayr’s reflections and J.-P. Thomas’s synthesis (Lecourt, 1999).
On this technique: (Mimno, n. d.).
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Gefen, A. The time of data. theoretical thinking, statistical thinking. Neohelicon (2024). https://doi.org/10.1007/s11059-024-00743-y
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DOI: https://doi.org/10.1007/s11059-024-00743-y